Graduate Quantitative Investment Analyst

Rory Mackie & Associates; Cape Town; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A financial services provider in Cape Town seeks an analyst to support portfolio management efforts. The ideal candidate should have a degree in relevant fields, a passion for statistics and Python programming, and strong analytical skills. Responsibilities include understanding investment strategies, contributing to research, and reviewing portfolio alignments. This is an entry-level opportunity for those looking to start a career in quantitative analysis.

Qualifications

• Degree in either Statistics, Mathematics, Financial Risk Management, Data Analytics and Quantitative fields.
• Studying towards CFA may be an advantage.
• May have zero to three years working experience within an asset management environment.
• Highly analytical with a passion for Python programming.
• Ability to program and work with large data sets.

Responsibilities

• Develop a deep understanding of the team’s models and investment strategy.
• Contribute to research and implementation of alternative risk and asset allocation.
• Review portfolio positioning and identify trades or rebalancing needs.
• Perform ad-hoc research projects impacting portfolio decisions.
• Provide data and support to business development and client groups.

Skills

Statistics

Data analytics

Python programming

Interpersonal skills

Analytical thinking

Education

Degree in Statistics, Mathematics, Financial Risk Management, Data Analytics

Tools

Python

Job description

Overview

Our client is a financial services provider, managing close to R20 billion in assets under management across South Africa and offshore.

They are seeking an analyst to work closely with the team, supporting the portfolio efforts for their multi-manager portfolios.

The ideal candidate will be passionate about statistics, data analytics and programming in Python. This opportunity offers the ideal entry experience for anyone seeking to start their career as a quantitative analyst.

Responsibilities

• Develop a deep understanding of the team’s models, fundamental research inputs, portfolio specific guidelines and objectives to determine implications for investment strategy
• Contribute to research and implementation of alternative risk and dynamic asset allocation across asset classes, such as equities, bonds, currencies, and commodities
• Review portfolio positioning across accounts and identify trades/rebalancing needs to bring portfolio into alignment with current strategy
• Perform ad-hoc research projects related to the market environment, portfolio design, and strategy implementation that will have a meaningful impact on portfolio decisions
• Provide data and communication support to business development and client group teams that explain our investment thesis and resulting portfolio positioning

Requirements

• Degree in either Statistics, Mathematics, Financial Risk Management, Data Analytics and Quantitative fields
• Studying towards CFA may be an advantage
• May have zero to three years working experience within an asset management environment
• An interpersonally engaging temperament, comfortable interacting with individuals across the business and with clients and working in a fast-paced environment
• Highly analytical with a passion for Python programming
• Working autonomously within the team while defining a clear path for personal development
• Ability to program and work with large data sets in any of the commonly used statistical packages (Python)